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NimbleCore: Space efficient k-core decomposition of graphs
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HOW TO RUN NimbleCore: python main_NimbleCore.py <input_file_name> Example: python main_NimbleCore.py ca-astroph.txt INPUT: The input has to an edgelist file, in the same directory as the code. An example graph is included, called "ca-astroph.txt" (From https://snap.stanford.edu/data/ca-AstroPh.html) OUTPUT: 1. The core number estimated by NimbleCore will be saved in the current directory. 2. The error of the estimates will be printed as output. 3. The exact core numbers will also be saved in the current directory. CITATION: Priya Govindan, Sucheta Soundarajan, Tina Eliassi-Rad, Christos Faloutsos, "NimbleCore: A space-efficient external memory algorithm for estimating core numbers", 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), vol. 00, no. , pp. 207-214, 2016, doi:10.1109/ASONAM.2016.7752237 BIBTEX: @article{10.1109/ASONAM.2016.7752237, author = {Priya Govindan, and Sucheta Soundarajan, and Tina Eliassi-Rad, and Christos Faloutsos, and undefined, and undefined, and undefined, and undefined, }, title = {NimbleCore: A space-efficient external memory algorithm for estimating core numbers}, journal = {2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)}, volume = {00}, number = {}, issn = {}, year = {2016}, pages = {207-214}, doi = {doi.ieeecomputersociety.org/10.1109/ASONAM.2016.7752237}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }
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